Vishnu Unnikrishnan

22 papers B 10Misc 2Journal 7Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Training and validating a treatment recommender with partial verification evidence. Artif. Intell. Medicine Vishnu Unnikrishnan, Clara Puga, Miro Schleicher, Uli Niemann, Berthold Langguth, Stefan Schoisswohl, Birgit Mazurek, Rilana Cima, Jose Antonio Lopez-Escamez, Dimitris Kikidis, Eleftheria Vellidou, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou
2024	—	`—`	Entity-centric machine learning: leveraging entity neighbourhoods for personalised predictors. Vishnu Unnikrishnan
2024	J	`jnl`	Training and Validating a Treatment Recommender with Partial Verification Evidence. CoRR Vishnu Unnikrishnan, Clara Puga, Miro Schleicher, Uli Niemann, Berthold Langguth, Stefan Schoisswohl, Birgit Mazurek, Rilana Cima, Jose Antonio Lopez-Escamez, Dimitrios Kikidis, Eleftheria Vellidou, Rüdiger Pryss, Winfried Schlee, Myra Spiliopoulou
2023	B	`conf`	A Similarity-Guided Framework for Error-Driven Discovery of Patient Neighbourhoods in EMA Data. IDA Vishnu Unnikrishnan, Miro Schleicher, Clara Puga, Rüdiger Pryss, Carsten Vogel, Winfried Schlee, Myra Spiliopoulou
2023	B	`conf`	Predicting Patient-Based Time-Dependent Mobile Health Data. CBMS Anna Kleinau, Simon Flügel, Rüdiger Pryss, Carsten Vogel, Milena Engelke, Winfried Schlee, Vishnu Unnikrishnan, Myra Spiliopoulou
2023	J	`jnl`	Prediction meets time series with gaps: User clusters with specific usage behavior patterns. Artif. Intell. Medicine Miro Schleicher, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
2022	B	`conf`	Discovering Instantaneous Granger Causalities in Non-stationary Categorical Time Series Data. AIME Noor Jamaludeen, Vishnu Unnikrishnan, André Brechmann, Myra Spiliopoulou
2021	B	`conf`	Circadian Conditional Granger Causalities on Ecological Momentary Assessment Data from an mHealth App. CBMS Noor Jamaludeen, Vishnu Unnikrishnan, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
2021	B	`conf`	Discovery of Patient Phenotypes through Multi-layer Network Analysis on the Example of Tinnitus. DSAA Clara Puga, Uli Niemann, Vishnu Unnikrishnan, Miro Schleicher, Winfried Schlee, Myra Spiliopoulou
2021	J	`jnl`	Interactive System for Similarity-Based Inspection and Assessment of the Well-Being of mHealth Users. Entropy Subash Prakash, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Berthold Langguth, Winfried Schlee, Myra Spiliopoulou
2021	B	`conf`	Love thy Neighbours: A Framework for Error-Driven Discovery of Useful Neighbourhoods for One-Step Forecasts on EMA data. CBMS Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Carlos Fernández-Viadero, Mirela Strandzheva, Doroteya Velikova, Plamen Dimitrov, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
2021	B	`conf`	User-centric vs whole-stream learning for EMA prediction. CBMS Saijal Shahania, Vishnu Unnikrishnan, Rüdiger Pryss, Robin Kraft, Johannes Schobel, Ronny Hannemann, Winny Schlee, Myra Spiliopoulou
2020	J	`jnl`	Active feature acquisition on data streams under feature drift. Ann. des Télécommunications Christian Beyer, Maik Büttner, Vishnu Unnikrishnan, Miro Schleicher, Eirini Ntoutsi, Myra Spiliopoulou
2020	—	`conf`	Assessing the Difficulty of Labelling an Instance in Crowdworking. PKDD/ECML Workshops Neetha Jambigi, Tirtha Chanda, Vishnu Unnikrishnan, Myra Spiliopoulou
2020	J	`jnl`	Entity-level stream classification: exploiting entity similarity to label the future observations referring to an entity. Int. J. Data Sci. Anal. Vishnu Unnikrishnan, Christian Beyer, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
2020	B	`conf`	Multivariate Time Series as Images: Imputation Using Convolutional Denoising Autoencoder. IDA Abdullah Al Safi, Christian Beyer, Vishnu Unnikrishnan, Myra Spiliopoulou
2020	B	`conf`	Predicting the Health Condition of mHealth App Users with Large Differences in the Number of Recorded Observations - Where to Learn from? DS Vishnu Unnikrishnan, Yash Shah, Miro Schleicher, Mirela Strandzheva, Plamen Dimitrov, Doroteya Velikova, Rüdiger Pryss, Johannes Schobel, Winfried Schlee, Myra Spiliopoulou
2020	J	`jnl`	Resource management for model learning at entity level. Ann. des Télécommunications Christian Beyer, Vishnu Unnikrishnan, Robert Brüggemann, Vincent Toulouse, Hafez Kader Omar, Eirini Ntoutsi, Myra Spiliopoulou
2019	—	`conf`	Assessing the Reliability of Crowdsourced Labels via Twitter. LWDA Noor Jamaludeen, Vishnu Unnikrishnan, Maya S. Sekeran, Majed Ali, Le Anh Trang, Myra Spiliopoulou
2019	Misc	`conf`	Exploiting entity information for stream classification over a stream of reviews. SAC Christian Beyer, Vishnu Unnikrishnan, Uli Niemann, Pawel Matuszyk, Eirini Ntoutsi, Myra Spiliopoulou
2018	B	`conf`	Entity-Level Stream Classification: Exploiting Entity Similarity to Label the Future Observations Referring to an Entity. DSAA Christian Beyer, Vishnu Unnikrishnan, Pawel Matuszyk, Uli Niemann, Rüdiger Pryss, Winfried Schlee, Eirini Ntoutsi, Myra Spiliopoulou
2018	Misc	`conf`	Predicting polarities of entity-centered documents without reading their contents. SAC Christian Beyer, Uli Niemann, Vishnu Unnikrishnan, Eirini Ntoutsi, Myra Spiliopoulou